GGUF is community-made. Verify before you ship.

Verified 2026-10-11: (1) Google’s EmbeddingGemma 2 model card does not list GGUF download artifacts. (2) Google’s announcement says the model works with partners including llama.cpp, LM Studio, and Ollama—that is runtime support, not proof that Google ships GGUF blobs on the model card. (3) Public Hugging Face search shows multiple community repos such as `ggml-org/embeddinggemma-2-GGUF`, `AtomicChat/embeddinggemma-2-GGUF`, and other third-party quantizations. We do not endorse a single pack.

Community READMEs commonly state that llama.cpp needs a build that understands the `gemma-embedding2` architecture (community posts reference a merge around 2026-10-06). Older llama.cpp builds may error with unknown architecture. Multimodal use may require a separate mmproj GGUF alongside the text backbone—follow the pack author’s instructions; we have not independently timed or scored every quant.

Not verified here: exact Spearman/Pearson tables published by individual quant authors, monthly download counters on community cards, or whether every file’s license metadata matches Apache 2.0 + Gemma policy. Before production: confirm the pack’s stated base model is `google/embeddinggemma-2`, check license tags, checksum if provided, and re-benchmark on your data. Prefer /download/ + /huggingface/ for the Google-published path.

This page is not a mirror and does not host GGUF files. Community pack quality and completeness (text-only vs vision/audio projectors) vary. Quantization can change embedding geometry—do not assume bit-identical retrieval to the BF16 HF checkpoint. We are not llama.cpp or Google support. Sources: Google model card + blog (2026-10-06), public HF community repo listings, checked 2026-10-11.